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13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them?

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So you've decided data science is the field for you. More and more businesses are becoming data driven, the world is increasingly becoming more connected and looks like every business will need a data science practice. So, the demand for data scientists is huge. Even better, everyone acknowledges the shortfall of talent in the industry. However, becoming a data scientist does not come easy. It needs a mix of problem solving, structured thinking, coding and various technical skills among others to be truly successful. If you are from a non-technical and non-mathematical background, there's a good chance a lot of your learning happens through books and video courses. Most of these resources don't teach you what the industry is looking for in a data scientist.


So You Think You Can Be A Data Scientist? – Tanmoy Ray

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So, you think you can be a data scientist. But, are you sure you have it what it takes to excel in the data science field? It's a very complicated field, and getting competitive day by day. In this post, we will go through what the industry demands of a modern data scientist in the real world, how to become a data scientist, top platforms and resources to learn the data science skills, and career advice & job search tips from data science experts. The data scientist job is definitely one of the most lucrative and hyped job roles out there. More and more businesses are becoming data-driven, the world is increasingly becoming more connected and looks like every business will need a data science practice. So, the demand for data scientists is huge. Even better, everyone acknowledges the shortfall of talent in the industry. But, becoming a data scientist is extremely complicated and competitive. The career path of a data scientist is not going to be easy.


Top 8 tips to get your first Internship in Data Science and Artificial Intelligence

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The positive aspects of a data science internship and AI are innumerable, beginning with the work opportunity with specialists in the industry until producing the portfolio. The internships provide mentor-ship and networking occasions. Candidates are able to learn from experts and explain you're already one step ahead of the companions. Let us today focus on how you can get the data science internship, as your interested industry. Data Science Internship India is a distinctive opportunity for candidates that wish to get hands-on experience working with data at a fast-growing company.


Data Science Internship Interview Questions - KDnuggets

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Data science is an attractive field. It's lucrative, you get opportunities to work on interesting projects, and you're always learning new things. Hence, breaking into the world of data science is extremely competitive. One of the best ways to start your data science career is through a data science internship. In this article, we'll look at the general level of knowledge that's required, the components of a typical interview process, and some example interview questions.


12 Mistakes that Data Scientists Make and How to Avoid Them

#artificialintelligence

It needs a mix of problem solving, structured thinking, coding and various technical skills among others to be truly successful. If you are from a non-technical and non-mathematical background, there's a good chance a lot of your learning happens through books and video courses. Most of these resources don't teach you what the industry is looking for in a data scientist. In this article I have discussed some of the top mistakes amateur data scientists make ( I have made some of them myself too). And we will also look at steps you should take to avoid those pitfalls in your journey. Many beginners fall into the trap of spending too much time on theory, whether it be math related (linear algebra, statistics, etc.) or machine learning related (algorithms, derivations, etc.).